IlyasMoutawwakil's picture
Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
6d01441 verified
raw
history blame
6.44 kB
{
"config": {
"name": "cpu_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.5.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cpu",
"device_ids": null,
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 1,
"duration": 1,
"warmup_runs": 1,
"input_shapes": {
"batch_size": 2,
"sequence_length": 16,
"num_choices": 2
},
"new_tokens": null,
"memory": true,
"latency": true,
"energy": true,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 2,
"min_new_tokens": 2
},
"call_kwargs": {
"num_inference_steps": 2
}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": false,
"device_isolation_action": null,
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16766.779392,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
"processor": "x86_64",
"python_version": "3.10.15",
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": "12b33198089c125596a4363f88200dc72e18e532",
"transformers_version": "4.47.0",
"transformers_commit": null,
"accelerate_version": "1.2.0",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 963.567616,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
1.2408000909999828
],
"count": 1,
"total": 1.2408000909999828,
"mean": 1.2408000909999828,
"p50": 1.2408000909999828,
"p90": 1.2408000909999828,
"p95": 1.2408000909999828,
"p99": 1.2408000909999828,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00017953235101666678,
"ram": 7.508769849938944e-06,
"gpu": 0,
"total": 0.00018704112086660572
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 978.640896,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"values": [
0.1252716089999808,
0.12047044400003415,
0.12501223300000674,
0.12499206500001492,
0.12275011599996333,
0.1045070729999793,
0.06366769400000294,
0.06370345999999927,
0.06577772699995421,
0.06772645899997087,
0.06350582999999688
],
"count": 11,
"total": 1.0473847099999034,
"mean": 0.09521679181817304,
"p50": 0.1045070729999793,
"p90": 0.12501223300000674,
"p95": 0.12514192099999377,
"p99": 0.12524567139998338,
"stdev": 0.028245941218080325,
"stdev_": 29.66487389327196
},
"throughput": {
"unit": "samples/s",
"value": 21.00469845507104
},
"energy": {
"unit": "kWh",
"cpu": 2.782435247222124e-06,
"ram": 1.1634154961214341e-07,
"gpu": 0.0,
"total": 2.898776796834268e-06
},
"efficiency": {
"unit": "samples/kWh",
"value": 689946.187710687
}
}
}
}